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ShokatiSayyad, Mohammad, Seyedabadi, Mohammad, Motamed Nia, Vida, Sadeghian, Mohammad Hossein. (1402). A New Window of Hope for Management and Prevention of Poisoning: The Use of Artificial Intelligence. , 13(1), 16-20. doi: 10.22038/apjmt.2024.78502.1444
Mohammad ShokatiSayyad; Mohammad Seyedabadi; Vida Motamed Nia; Mohammad Hossein Sadeghian. "A New Window of Hope for Management and Prevention of Poisoning: The Use of Artificial Intelligence". , 13, 1, 1402, 16-20. doi: 10.22038/apjmt.2024.78502.1444
ShokatiSayyad, Mohammad, Seyedabadi, Mohammad, Motamed Nia, Vida, Sadeghian, Mohammad Hossein. (1402). 'A New Window of Hope for Management and Prevention of Poisoning: The Use of Artificial Intelligence', , 13(1), pp. 16-20. doi: 10.22038/apjmt.2024.78502.1444
ShokatiSayyad, Mohammad, Seyedabadi, Mohammad, Motamed Nia, Vida, Sadeghian, Mohammad Hossein. A New Window of Hope for Management and Prevention of Poisoning: The Use of Artificial Intelligence. , 1402; 13(1): 16-20. doi: 10.22038/apjmt.2024.78502.1444

A New Window of Hope for Management and Prevention of Poisoning: The Use of Artificial Intelligence

Asia Pacific Journal of Medical Toxicology
دوره 13، شماره 1، خرداد 2024، صفحه 16-20    اصل مقاله (299.38 K)
نوع مقاله: Review Article
شناسه دیجیتال (DOI): 10.22038/apjmt.2024.78502.1444
نویسندگان
Mohammad ShokatiSayyad* 1؛ Mohammad Seyedabadi1؛ Vida Motamed Nia1؛ Mohammad Hossein Sadeghian2
1Department of Toxicology and Pharmacology, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran.
2Department of Forensic Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
چکیده
Background: Poisoning is a significant public health concern, encompassing a broad range of sudden and severe health issues resulting from the ingestion, inhalation, or contact with toxic substances. The potential for injury or fatality necessitates urgent medical attention and care. With the ongoing advancements in artificial intelligence (AI) and its increasing integration into medical and pharmaceutical domains, there is a growing interest in exploring the role of AI in the context of poisonings. This study aims to investigate the potential applications of AI in the management and treatment of poisoning.
Materials and methods: This research is a review by searching the keywords ("Artificial intelligence") [TIAB] AND (poisoning [TIAB] OR toxicity[TIAB] OR intoxication[TIAB] OR Toxin[TIAB] OR poison[TIAB]) was searched in the internet databases PubMed, Scopus, and Google Scholar search engine in 2016-2024.
Conclusion: Enhancing system management and treatment approaches is crucial in preventing accidental and intentional poisoning. This can be achieved by incorporating cutting-edge medical equipment, such as those equipped with AI. AI technology can recognize complex patterns beyond predefined rules and process large amounts of data, exceeding human capabilities. In the future, more progress in AI will likely affect various areas of healthcare, including poison prevention and treatment, to improve patient outcomes and reduce the burden of poisoning on healthcare systems.
 
کلیدواژه‌ها
Artificial Intelligence؛ Machine Learning؛ Poisoning؛ Toxicity
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